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Dataset Title:  NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version
2.1, 0.25°, 2021-present
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Institution:  NOAA/National Centers for Environmental Information   (Dataset ID: noaa_psl_11b5_e110_6464)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom:
[The graph you specified. Please be patient.]

 

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6094592e+9, 1.6409088e+9;
    String avg_period "0000-00-01 00:00:00";
    String axis "T";
    String delta_t "0000-00-01 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.875, 89.875;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.125, 359.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  icec {
    Float32 actual_range 0.08, 1.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Ice Distribution";
    String level_desc "Surface";
    String long_name "Daily Sea Ice Concentration";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Individual Observations";
    Float32 precision 2.0;
    String statistic "Mean";
    String units "percent";
    Float32 valid_range 0.0, 1.0;
    String var_desc "Sea Ice Concentration";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.0,hdf5=1.10.5,";
    String cdm_data_type "Grid";
    String comment "Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang, B., C. Liu, V. Banzon, E. Freeman, G. Graham, B. Hankins, T. Smith, and H.-M. Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1 (available at https://doi.org/10.1175/JCLI-D-20-0166.1). Anomaly is based on 1971-2000 OI.v2 SST. Satellite data: multi-satellite sensor (AVHRR+VIIRS) data. Ice data: NCEP Ice and GSFC Ice. Data less than 15 days old may be subject to revision.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "NOAA/National Centers for Environmental Information";
    String creator_type "group";
    String creator_url "https://www.noaa.gov/";
    String dataset_title "NOAA Daily Optimum Interpolation Sea Surface Temperature";
    Float64 Easternmost_Easting 359.875;
    Float64 geospatial_lat_max 89.875;
    Float64 geospatial_lat_min -89.875;
    Float64 geospatial_lat_resolution 0.25;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.875;
    Float64 geospatial_lon_min 0.125;
    Float64 geospatial_lon_resolution 0.25;
    String geospatial_lon_units "degrees_east";
    String history 
"NOAA/NCEI https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/
2024-05-02T20:09:41Z https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2.highres/icec.day.mean.2021.nc
2024-05-02T20:09:41Z http://upwell.pfeg.noaa.gov/griddap/noaa_psl_11b5_e110_6464.das";
    String id "Datasets/noaa.oisst.v2.highres/icec.day.mean.2021.nc";
    String infoUrl "https://www.psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html";
    String institution "NOAA/National Centers for Environmental Information";
    String keywords "advanced, analysis, avhrr, center, centers, concentration, daily, data, day, degree, distribution, environmental, flight, goddard, gsfc, high, ice, ice distribution, icec, information, interpolation, latitude, longitude, national, ncei, ncep, nesdis, noaa, oisst, optimum, prediction, radiometer, resolution, sea, space, sst, surface, temperature, time, version, very, vhrr";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 89.875;
    String references "https://www.psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html";
    String source "NOAA/NCEI https://www.ncei.noaa.gov/data/sea-surface-temperature-optimum-interpolation/v2.1/access/avhrr/";
    String sourceUrl "https://psl.noaa.gov/thredds/dodsC/Datasets/noaa.oisst.v2.highres/icec.day.mean.2021.nc";
    Float64 Southernmost_Northing -89.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1. Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder Advanced Very High Resolution Radiometer (AVHRR) SST and Navy AVHRR SST. Ice data: National Centers for Environmental Prediction (NCEP) Ice and Goddard Space Flight Center (GSFC) Ice. Data less than 15 days old may be subject to revision.";
    String testOutOfDate "now-4days";
    String time_coverage_end "2021-12-31T00:00:00Z";
    String time_coverage_start "2021-01-01T00:00:00Z";
    String title "NOAA/NCEI 1/4 Degree Daily Optimum Interpolation SST (OISST) Analysis, Version 2.1, 0.25°, 2021-present";
    String version "Version 2.1";
    Float64 Westernmost_Easting 0.125;
  }
}

 

Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

griddap request URLs must be in the form
https://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.


 
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